Reinke, Donald L., authorAzimi-Sadjadi, Mahmood R., authorWang, Jianqi, authorIEEE, publisher2007-01-032007-01-032004Wang, Jianqi, Mahmood R. Azimi-Sadjadi, and Donald Reinke, A Temporally Adaptive Classifier for Multispectral Imagery, IEEE Transactions on Neural Networks 15, no.1 (January 2004): 159-165.http://hdl.handle.net/10217/929This paper presents a new temporally adaptive classification system for multispectral images. A spatial-temporal adaptation mechanism is devised to account for the changes in the feature space as a result of environmental variations. Classification based upon spatial features is performed using Bayesian framework or probabilistic neural networks (PNNs) while the temporal updating takes place using a spatial-temporal predictor. A simple iterative updating mechanism is also introduced for adjusting the parameters of these systems. The proposed methodology is used to develop a pixel-based cloud classification system. Experimental results on cloud classification from satellite imagery are provided to show the usefulness of this system.born digitalarticleseng©2004 IEEE.Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.predictionmultispectral imagingcloud classificationBayes classificationText